Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJCA001122: Unbalanced Breeding-like Inter-Cross (CUBIC) offspring

Source: NGDC / CRA001241
Submission Date: Nol 16 2018
Release Date: Nov 16 2018
Update Date: Nol 16 2018

Summary: RNA-seq data of CUBIC offspring

GEN Datasets:
GEND000324
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: -
Treatment Protocol: -
Extract Protocol: At the V9 stage, total RNA was extracted from the tissue of the 11th leaf, collected from the pool of three plants of similar growth status per line, following the standard protocol of Quick RNA isolation Kit, #0416-50.
Library Construction Protocol: A library with insert sizes ranging from 200~500 bp was prepared using the commercial Illumina library preparation kits (TruSeq Stranded mRNA LT-SetA. RS-122-1201).
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina HiSeq X Ten
Strand-Specific: Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
CUBIC: an atlas of genetic architecture promises directed maize improvement.
Genome biology . 2020-01-24 [PMID: 31980033]